创建一个强大的协调数据和政策框架,以解决美国的物质使用问题
Qiushi Chen1, Glenn Sterner2, Danielle Rhubart3
1The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA, United States.
对阿片类药物流行病反应的数据利用不足. 提高数据质量和可访问性对于有效的政策规划和应对危机至关重要.
科学领域:
- 公共卫生 公共卫生
- 卫生政策 卫生政策
- 数据科学数据科学数据科学
背景情况:
- 尽管有可用的数据,阿片类药物流行仍然存在.
- 目前的数据实践缺乏跨部门协调和可用于政策的可操作洞察力.
- 现有的研究和实践还没有充分利用数据来应对危机.
研究的目的:
- 倡导在阿片类药物危机政策中加强数据利用.
- 确定阻碍有效决策的数据局限性.
- 提出一个协调的数据和政策框架,以改善公共卫生结果.
主要方法:
- 在阿片类药物危机应对中对数据挑战的审查.
- 对数据特征的分析 (覆盖范围,特异性,及时性,地理位置,访问).
- 与国家政策制定者就数据为基础的战略进行商的经验.
主要成果:
- 数据覆盖范围,具体性,及时性,地理相关性和访问是关键障碍.
- 目前的数据基础设施没有优化政策规划.
- 需要一个协调的框架来弥合数据和政策.
结论:
- 提高数据的可访问性和质量对于有效应对阿片类药物流行病至关重要.
- 一个协调的数据和政策框架可以最大限度地提高公共健康和安全.
- 及时,有意义的数据对于为政策提供信息和打击阿片类药物危机至关重要.
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